基于改进支持向量机算法的船舶寿命周期费用研究

摘要

船舶寿命周期费用的预估有着强耦合、非线性的特点,论文建立基于改进支持向量机算法的船舶寿命周期费用估算模型,通过研究支持向量机中的RBF函数提高估算精度,并通过均方根误差函数评价估算模型的有效性.结果表明,该改进算法具有更高的预测精度,适用于船舶寿命周期的费用研究.%The prediction for Ship life cycle cost (LCC) has complex nonlinear feature with strong coupling between partions.In this article, an prediction model is built based on Improved SVM algorithm and the RBF kernel used in SVM for the promoting of estimate precision is researched.The availability of this prediction model is evaluated by the MSE function.The result as shown in tables indicates that the model is superior to traditional algorithm in prediction accuracy.